Abstract

Nowadays detecting and resolving lexical ambiguities are difficult tasks in the business process models. Business process models represent all functions of a business activity in a sequential order. So business process models should not hold any terminological issues there has been lack of techniques to handle the problem of ambiguity in words due to synonyms and homonyms. In existing work, a technique called word sense disambiguation based on babelnet was used to detect and resolve the lexical ambiguities. Word sense disambiguation is a method for finding correct meaning of an ambiguous word. Babelnet is one of the widely used lexical resource that combine both wordnet and Wikipedia to identify the different meanings of the ambiguous words automatically. In addition to the existing work, the authors proposed a domain driven disambiguation approach that uses wordnet domain to find the domain information about a word automatically to detect and resolve the lexical ambiguity in business process models.

Keywords
Business Process Models, Lexical Ambiguity Identification, Lexical Ambiguity Resolution

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